Applying frequent-pattern mining and time geography to impute gaps in smartphone-based human-movement data

Pengxiang Zhao, David Jonietz, Martin Raubal. Applying frequent-pattern mining and time geography to impute gaps in smartphone-based human-movement data. International Journal of Geographical Information Science, 35(11):2187-2215, 2021. [doi]

@article{ZhaoJR21,
  title = {Applying frequent-pattern mining and time geography to impute gaps in smartphone-based human-movement data},
  author = {Pengxiang Zhao and David Jonietz and Martin Raubal},
  year = {2021},
  doi = {10.1080/13658816.2020.1862126},
  url = {https://doi.org/10.1080/13658816.2020.1862126},
  researchr = {https://researchr.org/publication/ZhaoJR21},
  cites = {0},
  citedby = {0},
  journal = {International Journal of Geographical Information Science},
  volume = {35},
  number = {11},
  pages = {2187-2215},
}